Dynamic estimation of family relations from photos
Authors: 
Tong Zhang, Hui Chao, Dan TretterAuthors Info & Claims
Tong Zhang, Hui Chao, Dan TretterAuthors Info & ClaimsPages 65 - 76
Abstract
In this paper, we present an approach to estimate dynamic relations among major characters in family photo collections. This is a fully automated procedure which first identifies major characters in photo collections through face clustering. Then, based on demographic estimation, facial similarity, coappearance information and people's positions in photos, social relations of people such as husband/wife, parents/kids, siblings, relatives and friends can be derived. A workflow is proposed to integrate the information from different aspects in order to give the optimal result. Especially, based on timestamps of photos, dynamic relation trees are displayed to show the evolution of people's relations over time.
References
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Wu, P., Tretter, D.: Close & Closer: Social Cluster and Closeness from Photo Collections. In: ACM Conf. on Multimedia, Beijing, pp. 709-712 (October 2009)
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Zhang, T., Xiao, J., Wen, D., Ding, X.: Face Based Image Navigation and Search. In: ACM Conf. on Multimedia, Beijing, pp. 597-600 (October 2009)
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Gao, W., Ai, H.: Face Gender Classification on Consumer Images in a Multiethnic Environment. In: The 3rd IAPR Conf. on Biometrics, Univ. of Sassari, Italy, June 2-5 (2009)
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Gao, F., Ai, H.: Face Age Classification on Consumer Images with Gabor Feature and Fuzzy LDA Method. In: The 3rd IAPR International Conference on Biometrics, Univ. of Sassari, Italy, June 2-5 (2009)
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Gallagher, A.C., Chen, T.: Using Context to Recognize People in Consumer Images. IPSJ Trans. on Computer Vision and Applications 1, 115-126 (2009)
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Zhang, T., Chao, H., et al.: Consumer Image Retrieval by Estimating Relation Tree from Family Photo Collections. In: ACM Conf. on Image and Video Retrieval, Xi'an, China, pp. 143-150 (July 2010)
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Information & Contributors
Information
Published In
January 2011
488 pages
ISBN:3642178286
Sponsors
- IFII: Institute For Information Industry
- NTSEC: National Taiwan Science Education Center
- Microsoft Research: Microsoft Research
- NTOU: National Taiwan Ocean University
- ITRI: Industrial Technology Research Institute
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 05 January 2011
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